High Memory Usage while longt term testing

When performing the network-test memory usage of the end-device highliy encreases. This could be caused by constantly keeping all the data in memory instead of dumping it to csv. Also an idea could be to max-out the file size / entries of an csv file to about 30K entries and then start a new file. (Also starting with a fresh data frame)


Look for the network-test script that writes CSV data. Identify where data is kept in memory (likely a DataFrame) and not flushed. Check if there's a loop or long-running process that accumulates data. The fix involves limiting entries per CSV file (e.g., 30k) and resetting the DataFrame periodically. Test memory usage before and after changes.

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